Mediaiobasedownload import

import json import webbrowser import httplib2 import io from apiclient.http import MediaIoBaseDownload from apiclient import discovery from oauth2client import client

discovery import build: from googleapiclient. http import MediaIoBaseDownload: from google. colab import auth # login: auth. authenticate_user # get file_id: gdrive = build ('drive', 'v3'). files res = gdrive. list (q = "name='kaggle.json'").

28.10.2020 Mediaiobasedownload import

ArgumentParser (parents = [tools. argparser]). parse_args except ImportError: flags = None: import auth import pickle import os import re import io from googleapiclient.discovery import build from google_auth_oauthlib.flow import InstalledAppFlow from google.auth.transport.requests import Request from googleapiclient.http import MediaIoBaseDownload import requests from tqdm import tqdm # If modifying these scopes, delete the file token.pickle. Sep 15, 2016 def run(self, params= {}): filename = params.get('file').get('filename') file_bytes = params.get('file').get('content') file_type = params.get('google_file_type') folder_id = params.get('folder_id') # Apply mime_type. Set mime_type to unknown by default.

file_id = '1uBtlaggVyWshwcyP6kEI-y_W3P8D26sz' import io from googleapiclient.http import MediaIoBaseDownload request = drive_service.files().get_media(fileId=file_id) downloaded = io.BytesIO() downloader = MediaIoBaseDownload(downloaded, request) done = False while done is False: # _ is a placeholder for a progress object that we ignore.

It does not create or confer any rights for or on any person, and does not operate to bind F 27 Dec 2016 oauth2client import tools from oauth2client.file import Storage import io from apiclient.http import MediaIoBaseDownload try: import argparse from apiclient import discovery import oauth2client from oauth2client import client BytesIO() downloader = MediaIoBaseDownload(fh, request) done = False from google.colab import files with open('example.txt', 'w') as f: f.write('some import io from googleapiclient.http import MediaIoBaseDownload request 4 Nov 2020 import googleapiclient.discovery from google.oauth2 import service_account from googleapiclient.http import MediaIoBaseDownload from io from google.oauth2 import service_account from googleapiclient.http import MediaIoBaseDownload,MediaFileUpload from googleapiclient.discovery import 241, New, MediaIoBaseDownload.download uses httpMethod GET rather 237, Accepted, Resolve ndb import issue Type-Defect Priority-Medium log-8164454. 4 Jul 2018 How to import data from fastai URLs (lessons 1, 3, 4): import MediaIoBaseDownload from google.colab import auth auth.authenticate_user() import pickle import os from googleapiclient.discovery import build from googleapiclient.http import MediaIoBaseDownload import requests from tqdm import from google.colab import files with open('example.txt', 'w') as f: f.write('some import io from googleapiclient.http import MediaIoBaseDownload request 20. 21.

Jan 05, 2019

Sep 20, 2018 · from googleapiclient.discovery import builds import io, os from googleapiclient.http import MediaIoBaseDownload from google.colab import auth auth.authenticate_user() Search the kaggle.json file from google drive and copied into ~/.kaggle/kaggle.json from googleapiclient.

Wh Imports News & Events The .gov means it’s official.Federal government websites often end in .gov or .mil.

from __future__ import print_function import httplib2 import os import io from apiclient import discovery from oauth2client import client from oauth2client import tools from oauth2client.file import Storage from apiclient.http import MediaFileUpload, MediaIoBaseDownload try: import argparse flags = argparse. Apr 01, 2018 · from googleapiclient.http import MediaIoBaseDownload from google.colab import auth auth.authenticate_user () drive_service = build ('drive', 'v3') results = drive_service.files ().list (q="name = Jun 11, 2019 · Create a reporting job. This code sample demonstrates how to create a reporting job. It calls the reportTypes.list method to retrieve a list of available report types.

http import MediaIoBaseDownload: import httplib2: import os: import sys: import datetime: import time: from apiclient import discovery: import io: import oauth2client: from oauth2client import client: from oauth2client import tools: from logbook import Logger, FileHandler import pickle import os import re import io from googleapiclient.discovery import build from google_auth_oauthlib.flow import InstalledAppFlow from google.auth.transport.requests import Request from googleapiclient.http import MediaIoBaseDownload import requests from tqdm import tqdm # If modifying these scopes, delete the file token.pickle. from apiclient.http import MediaIoBaseDownload with open ( '/tmp/gsutil_download.txt' , 'wb' ) as f: # Download the file from a given Google Cloud Stor age bucket. We will use the MediaIoBaseDownload class to receive the file from the server and write it in memory with the BytesIO object. Since the file size may vary from a few bytes to very large, we will prefer downloading the file in Chunks. We can also pass the chunk size if we don’t want to use the default one. Now, we will run a while loop and in import io from googleapiclient.http import MediaIoBaseDownload DRIVE = discovery downloader = MediaIoBaseDownload(fh, request) done = False while done is False: status, done = downloader.next import tqdm: from google.

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Accessing the fastai data files (lessons 1, 3, 4) If you get a fastai URL to a .zip or .tgz - follow these directions to import the data into your notebook.

get_media (fileId = file_id) downloaded = io. BytesIO downloader = MediaIoBaseDownload (downloaded, request) done = False while done is False: # _ is a placeholder for a progress object that we ignore. Jan 05, 2019 Apr 15, 2017 from __future__ import print_function import httplib2 import os import io from apiclient import discovery from oauth2client import client from oauth2client import tools from oauth2client.file import Storage from apiclient.http import MediaFileUpload, MediaIoBaseDownload try: import argparse flags = argparse. Jun 11, 2019 Reader Beware For some motivation and preliminary reading, you might find my original exploratory post on YouTube’s Reporting API helpful. In this particular post, I just want to cover some additional technical details that I’m more aware of after having covered Google’s Client API and YouTube’s Data API. For most content, YouTube provides daily estimated metrics at a 2-3 day lag. If you are working on a project that requires recency or metric estimates at a better-than-daily cadence, scraping is probably the way to go, and will allow you to obtain estimates of total views, likes, dislikes, comments, and sometimes even a few other quantities. from __future__ import print_function import pickle import os.